Triple
T34815679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tales of Suspense #79 |
E1003626
|
entity |
| Predicate | followsIssue |
P134
|
FINISHED |
| Object |
Tales of Suspense #78
Tales of Suspense #78 is an issue of the Marvel Comics anthology series from the 1960s featuring stories starring Iron Man and Captain America.
|
E2117915
|
NE FINISHED |
How this triple was built (3 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tales of Suspense #78 | Statement: [Tales of Suspense #79, followsIssue, Tales of Suspense #78]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tales of Suspense #78 Triple: [Tales of Suspense #79, followsIssue, Tales of Suspense #78]
Generated description
Tales of Suspense #78 is an issue of the Marvel Comics anthology series from the 1960s featuring stories starring Iron Man and Captain America.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsIssue Context triple: [Tales of Suspense #79, followsIssue, Tales of Suspense #78]
-
A.
followsUp
Indicates that one entity continues, responds to, or builds upon a previous entity, typically as a subsequent action, communication, or step.
-
B.
follows
chosen
Indicates that one entity comes after, moves behind, or acts in accordance with another entity in time, space, or sequence.
-
C.
followsTo
Indicates that one entity moves or proceeds behind another entity toward a specific destination or target.
-
D.
startsInIssue
Indicates that an event, process, or condition begins within the context or scope of a particular issue.
-
E.
followsIn
Indicates that one entity comes after or succeeds another in a sequence, order, or progression.
- F. None of above.
Provenance (6 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76db717088190811b4e744610f37d |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fed83b1d188190a318b0ad3003200a |
completed | May 9, 2026, 6:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3786c82d0481908e30f004638c78ca |
completed | June 21, 2026, 6:38 a.m. |
| NEDg | Description generation | batch_6a37917d7d008190b9319b9d653070c6 |
completed | June 21, 2026, 7:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a379216d1348190b20b1a852b9c2676 |
completed | June 21, 2026, 7:26 a.m. |
| PD | Predicate disambiguation | batch_69fed78e03548190b6e6ad93ae8d131d |
completed | May 9, 2026, 6:43 a.m. |
Created at: May 3, 2026, 3:59 p.m.